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scikit learn Recipes

Track :

Programming

Lessons no : 8

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What will you learn in this course?
  • Master data preprocessing, feature engineering, and model selection techniques using scikit-learn for robust machine learning projects
  • Implement supervised and unsupervised learning algorithms with scikit-learn to solve real-world classification and clustering problems
  • Apply hyperparameter tuning and model evaluation strategies to optimize machine learning models in scikit-learn
  • Develop neural network models with scikit-learn for deep learning applications and complex data analysis tasks
  • Utilize scikit-learn pipelines and workflows to streamline machine learning processes and improve reproducibility
  • Troubleshoot common issues in scikit-learn models to enhance accuracy and performance in practical data analysis scenarios

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Lessons | 8


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